Títol
Spatial modelling of air temperature and precipitation for Andorra (Pyrenees) from daily circulation patterns
Autor/s
Esteban Vea, Pere; Ninyerola Casa, Miquel; Prohom Duran, Marc
Any
2009
Mes
-
Tesi universitat lectura
-
Universitat de lectura
Tesi director
-
Tesi codirector
-
Títol de la revista
Theoretical and Applied Climatology
Pàgines
43-56
Volum de la revista
96
Numero revista
-
Idioma
Anglès
ISBN / ISSN
0177-798X
Titol obra
Theoretical and Applied Climatology
Editorial obra
-
Llocpub Obra
-
DOI
10.1007/s00704-008-0035-3

Accés text complet en obert
Paraules clau
Air temperature, Atmospheric circulation, Climate classification, Cluster analysis, Conference proceeding, Data quality, Multiple regression, Numerical model, Precipitation (climatology), Sea level pressure, Spatial distribution, Andorra, Atlantic ocean, Eurasia, Europe mediterranean sea, Pyrenees, Southern Europe

Resum
(ENG) Based on the daily sea level pressure (SLP) circulation catalogue obtained by Esteban, Martin-Vide and Mases, Int J Climatol 26:1501-1515, (2006) for Western Europe, high-resolution maps of daily maximum and minimum temperature, mean daily precipitation and daily precipitation probability have been obtained for Andorra (Pyrenees). The 20 daily-circulation patterns cover the period 1960-2001 and were generated using new approaches based on the rotated principal component analysis (PCA) and clustering technique. The final maps of Andorra associated with each circulation pattern have been constructed using altitude, latitude, continentality and solar radiation as multiple regression predictors (Ninyerola, Pons and Roure, Int J Climatol 20:1823-1841, 2000). The daily temperature and rainfall series used from Andorran, French and Catalan/Spanish weather stations have been checked for data quality. The results confirm the complexity of the spatial distribution of meteorological phenomena over mountainous areas such as in Andorra, and show the importance of the Mediterranean and Atlantic influence upon the climate of this country of the Pyrenees. On the other hand, different tests have been made showing that the classification results could improve the resulting interpolated climate maps by the use of the circulation-pattern frequencies.